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Fraud Cycles

Jiong Gong (), Randolph McAfee and Michael A. Williams

Journal of Institutional and Theoretical Economics (JITE), 2016, vol. 172, issue 3, 544-572

Abstract: Fraud is an ancient crime and one that annually causes hundreds of billions of dollars in losses. We develop an evolutionary theory that suggests cyclical behavior in frauds should be common. We perform a wavelet analysis of the frequencies of fraudulent and nonfraudulent offenses. Our results demonstrate that the frequencies of fraudulent offenses exhibit cyclical behavior that differs markedly from the cyclical behavior of nonfraudulent offenses.

JEL-codes: G38 L2 M49 (search for similar items in EconPapers)
Date: 2016
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Working Paper: Fraud Cycles (2011) Downloads
Working Paper: Fraud cycles (2011) Downloads
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DOI: 10.1628/093245616X14600936934117

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